When it comes to the future of AI in Media and Entertainment, the experts agree: it’s all about content, content, content. Upcoming Events | Data Science Salon NYC | DSS MIA | DSS SEA | DSS LA | DSS ATX, Hands-on real-world examples, research, tutorials, and cutting-edge techniques delivered Monday to Thursday. Report What Data Science, Machine Learning Tools and Techniques Are Your Favorite? Stay tuned; this guide series will also cover the following aspects of AI in the media industry over the next few weeks: How AI is Changing the Media & Entertainment Industry Superhero Ironman’s virtual helper JARVIS (Just A Rather Very Intelligent System) for example is echoed in smart assistants such as Alexa and Google Assistant, which may not catch criminals but can perform a range of practical At Forbes, we are developing a new publishing platform, Bertie, that works as an AI assistant to writers (you can read more about it here). Media & Entertainment From machine learning that renders the most lifelike virtual creatures in seconds, to natural language processing that localizes content for audiences around the world in a fraction of the time, AI is speeding media creation and delivery to multiple platforms in the most visually rich and personalized way yet. However, as data science penetrates more industries — folks will have to get creative in how they collect data.”, “The fun is in finding the best way to mix and match the techniques and measure the success of each one,” says Shin. Says Capelo, “There I see many of my colleagues creating solutions that increase the probability for users to subscribe. Trends. Bertie learns many things from writers, such as their writing style, the topics they typically write about, and so on. 84% of marketing organizations are implementing or expanding AI and machine learning in 2018. ML and analytics can automate manual and time-intensive processes as well as deliver insights to improve business decisions. Make learning your daily ritual. Social media marketing has become the new epicenter for all digital marketing. While media has traditionally been a data-driven company, AI essentially changes both the conduct of the crowd and the creative process. We’ve curated a selection of programs for media and entertainment data teams and business leaders and presented the highlights for you. The media and entertainment landscape is changing. As creators develop new content, embedding based recommender systems can autosuggest image assets for articles, for example, or help surface image assets without copyright limitations given a target image. To learn more about AI, ML, and DL applications in M&E, read our latest whitepaper, Three Technology Musts for Media & Entertainment. Live Video Analytics Build intelligent video-based applications using the AI of your choice; Media Services Encode, store, and stream video and audio at scale; Encoding Studio grade encoding at cloud scale Legendary Entertainment. Content from entertainment and media companies are measured in TBs and PBs today. Copyright © 2021 mediaentertainmenttechoutlook.com All rights reserved, I agree We use cookies on this website to enhance your user experience. Image courtesy of Vizrt LIVE BROADCAST. Real-life examples of AI/ML in marketing. Although media has traditionally been a data-driven business, AI is fundamentally changing both audience behavior and the creative process.” Pfeifel says this goes even further. … The digitization of content has completely changed how media companies think about the creation, production, marketing, distribution and monetization of content. These actions — and not only insights — are the real value added by data science teams. In the end, there’s plenty of reason for optimism. The media and entertainment landscape is changing. Chief Executive Sam Bogoch said the demand for ML technology comes from the need to save time and shorten media production cycles. These examples will help you understand how to get started with AI, especially the machine learning aspect in marketing and how AI helps improve marketing … “AI will influence all parts of the media value chain, helping content creators to be more creative, helping content editors to be more productive, and helping content consumers to find the content that matches their interests and current situation,” explains Rainer Kellerhals, Microsoft’s Media and Entertainment industry lead for the EMEA region. “Machine learning has moved past the high-school sex phase (everyone talking about it, but no one doing it), to a much broader implementations across industries including media.”, The demand for data remains vast, says Friederike Schüür, Senior Data Scientist and Researcher at Fast Forward Labs. This article was originally published in the Summer 2018 issue of The Record. Ensuring a high-quality video experience on every screen is essential if broadcasters want to keep viewers satisfied. We are revisiting the top digital transformation trends for entertainment and media. “Media and entertainment started hiring for AI and ML positions a bit later than other industries and I hear a lot of new data scientists compare it against companies like Google and Facebook without realizing they’re comparing apples and oranges. Learn more about the media and entertainment talks, training and events featured at the Data + AI 2020 Europe Virtual Summit. As their audiences find new ways to consume entertainment, whether it’s through tablets, smartphones, connected TVs, PCs, gaming or mixed reality devices, the competition for attention has never been greater. 5 Strategic Business Cases in Media & Entertainment Industry That are Being Disrupted by AI & ML Adrish Bera July 23, 2018 Twitter Facebook LinkedIn Flipboard 3 Join this webinar to learn how Digital Domain uses NVIDIA technology to develop AI-based toolsets for applying deep learning to their content creation pipeline. 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